Senior Data Scientist

<p>Job Description</p><p></p><p>Our company is a leading global pharmaceutical company dedicated to improving the health and well-being of people around the world. With a rich history spanning more than a century, our company focuses on discovering, developing, and delivering innovative products spanning both the human and animal health domains. Committed to scientific excellence, our company invests heavily in research and development to advance medical science and provide effective solutions for patients. Through collaboration, innovation, and a patient-centric approach, our company strives to make a meaningful impact on global healthcare by providing high-quality, safe, and accessible treatments.</p><p></p><p>Based in the Global Animal Health Manufacturing, the COE Data Science &amp; Biostatistics team is looking for an experienced senior data scientist with affinity for statistics to join our team. The team plays a critical role making data-informed manufacturing decisions spanning all key areas within manufacturing e.g., capacity optimization, process improvement, quality control, maintenance, yield optimization, regulatory filing for new products, and deviation management, etc.</p><p></p><p><b>As a senior data scientist in the COE Data Science &amp; Biostatistics team, you will perform the following activities</b></p><ul><li><p>Selecting appropriate analytical techniques and algorithms to best solve business challenges</p></li><li><p>Ability to choose right tools and infrastructure for data science projects and articulate those decisions</p></li><li><p>Ensuring quality delivery according to the standards and best practices methodology</p></li><li><p>Technical mentorship to junior team members</p></li><li><p>Leading data science projects</p></li><li><p>Driving the development of the SW code (quality, documented and reusable) to execute data science algorithms</p></li><li><p>Communication and collaboration with diverse stakeholders</p></li><li><p>Understanding of the business context of the decisions to be supported</p></li><li><p>Building mathematical or statistical models using the available data</p></li><li><p>Use of R or python to design and develop analytical models and data science projects using advanced techniques such as simulations, optimizations and machine learning</p></li><li><p>Assessment of the output of the analytical solution and use the data to draw conclusions, identification of options, and making recommendations</p></li><li><p>Interpret the results and provide the advice to the business stakeholders</p></li><li><p>Building and maintaining of knowledge on the data sources, the data quality and metadata</p></li><li><p>Recognition of the repeatable situation and suggesting the appropriate level of automation of analytics</p></li><li><p>Promotion of a culture of modelling and analytics as a differentiator and competitive advantage - an environment that places high value on embedding analytical tools within business processes, and using information to make fact-based decisions</p></li><li><p>Staying in touch with modern methodology within predictive modelling</p></li></ul><p></p><p><b>How we see an ideal candidate</b></p><ul><li><p>MSc Degree in Computer Science, Mathematics, Statistics, Physics, Economics or other related fields</p></li><li><p>At least 2 years of Data Science hands-on experience in Manufacturing space</p></li><li><p>Passion for advanced analytics (mathematics)</p></li><li><p>Passion for good quality code</p></li><li><p>Demonstrated proficiency in statistical techniques such as Design of Experiments (DOE), Statistical Process Control (SPC), regression analysis, general linear models, and multivariate methods</p></li><li><p>Working with multiple collaboration DevOps tool such as JIRA, Git and Confluence is a plus</p></li><li><p>The ability to formulate models, analyze them, and program and run in some appropriate system (for example R or Phython)</p></li><li><p>Experience and/or ability to quickly learn new tools like Dataiku, SageMaker, Databricks, Mlflow Spark/ distributed compute environment</p></li><li><p>Extensive knowledge in one or more of the following areas: mathematical analysis and modelling, probability, stochastic processes, econometrics, machine learning, optimization, simulation, software development</p></li><li><p>Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives</p></li><li><p>Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytical results with real business context</p></li><li><p>Ability to communicate statistical concepts and analyses to non-statisticians</p></li><li><p>Ability to work both independently and collaboratively within a globally dispersed team</p></li></ul><p></p><p><b>What we offer</b></p><ul><li><p>Exciting work in a great team, global projects, international envi